At a Glance
- Tasks: Architect and design enterprise data structures for financial services transformation.
- Company: Join a leading financial services firm driving innovation in data architecture.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on strategic data initiatives.
- Why this job: Make a significant impact on modernising financial systems with cutting-edge data solutions.
- Qualifications: Experience as a Data Architect in Financial Services and expertise in relevant database technologies.
The predicted salary is between 76662 - 93698 £ per year.
- Hiring: Enterprise Data Architect (Financial Services)
- Type: Permanent / Full-Time
Are you an experienced Data Architect with a strong background in Capital Markets or Banking?
We are looking for a strategic technical leader to drive a large-scale financial services transformation, bridging the gap between legacy relational systems and modern distributed data ecosystems.
What You Will Do
- Architect, design, and document enterprise data structures (Domain, Conceptual, Logical, and Physical models).
- Build scalable, high-performance database solutions across both RDBMS (Oracle, Postgre SQL) and No SQL platforms (Cassandra, Yugabyte DB).
- Define data standards, integration patterns, and governance principles for complex financial systems.
- Collaborate with business stakeholders, engineering leads, and cross-functional teams to align data strategy with business goals.
- Drive modernization efforts, utilizing on-prem, cloud (GCP), and hybrid data architectures.
What You Bring
- Proven track record as a Data Architect in Financial Services, Investment Banking, or Trading platforms.
- Deep technical expertise in Oracle, Postgre SQL, Cassandra, and Yugabyte DB.
- Hands-on experience with modeling tools like ERStudio and Hackolade.
- Strong knowledge of GCP Data Architecture, distributed data design, partitioning, and high-availability patterns.
- Exceptional communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
- #J-18808-Ljbffr
Enterprise Data Architect in Burgess Hill employer: Randstad Staffing
Join a leading team as a Static Maintenance Electrician in Castle Donington, where you will enjoy a competitive salary of up to £42,000 and a true work-life balance with no weekend shifts. Our supportive work culture prioritises employee growth through continuous training and generous time off, ensuring you can thrive both professionally and personally in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Data Architect in Burgess Hill
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Randstad Staffing!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Enterprise Data Architect at Randstad Staffing.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Randstad Staffing.
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When you find a suitable opening like Enterprise Data Architect at Randstad Staffing, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Enterprise Data Architect in Burgess Hill
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Randstad Staffing, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Randstad Staffing. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Randstad Staffing
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Randstad Staffing!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
